2026-10-08T21:26:45Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33832309 2026-09-19T09:48:09Z category_26875 item_type_3 month_year_09_2026

Data and code for: Beyond Hourly Counts: Daily Quantity and Intraday Allocation of Pedestrian and Bike-Channel Trail Traffic Across Temperature Variation KANG LI (24202611) Human impacts of climate change and human adaptation Urban climate Urban trail use Temperature Intraday timing Temporal redistribution Moving-block bootstrap Automated counters <p dir="ltr">This repository contains the data, code, statistical outputs, bootstrap results, figure source data, and reproducibility materials supporting the study “Beyond Hourly Counts: Daily Quantity and Intraday Allocation of Pedestrian and Bike-Channel Trail Traffic Across Temperature Variation.”</p><p dir="ltr">The study examines two complementary dimensions of temperature-related urban trail traffic: daily quantity, representing variation in total daily passage volume, and intraday timing, representing how an observed daily volume is distributed across the hours of the day.</p><p dir="ltr">The analysis uses publicly available hourly pedestrian and bike-channel counter records from two urban trails in Seattle, Washington, linked to audited hourly meteorological observations from NOAA/NCEI. The primary timing analysis includes 12,864 hourly mode-specific observations across 134 complete dates, while a longer Mountains to Sound Trail series is used for temporal and seasonal diagnostic analyses.</p><p dir="ltr">The repository includes derived analysis datasets, R and Python analysis scripts, moving-block bootstrap replicates, primary and sensitivity-analysis results, seasonal and weather-station comparison outputs, source data for the main and supplementary figures, data dictionaries, provenance documentation, and reproducibility checks.</p><p dir="ltr">The underlying Seattle trail-counter and NOAA meteorological observations originate from publicly available third-party sources. Their provenance and source terms are documented in the repository. The repository does not claim ownership of the original public data sources.</p><p dir="ltr">The materials are provided to support transparent reproduction of the reported analyses and figures. The study does not contain identifiable individual-level data; automated counters record aggregate passage events rather than unique persons.</p> 2026-09-19T09:48:09Z Dataset Dataset 10.6084/m9.figshare.33832309.v2 https://figshare.com/articles/dataset/Data_and_code_for_Beyond_Hourly_Counts_Daily_Quantity_and_Intraday_Allocation_of_Pedestrian_and_Bike-Channel_Trail_Traffic_Across_Temperature_Variation/33832309 CC BY 4.0